In Rails Design Patterns and Refactoring, you'll learn how to refine and scale your Ruby on Rails applications. We'll start by exploring foundational design patterns and linking them with Ruby and OOP best practices.

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This course covers what Ruby on Rails is, why it’s still one of the most versatile, productive, and pleasant tools to build modern web applications, and how you can use it today to build your ambitious next project.

Learn how to convert your code to a script and run it as a command job in Azure Machine Learning.

Examines how to plan for and run a PST migration, how to run a public folder migration, how to plan for a cross-tenant migration, and how to prepare source user objects for migration.

This module is theoretical and will walk you through how an IoT Edge device can be harnessed as a gateway to child devices and can store captured information if connectivity is unavailable.

Implement a cognitive service for performing language detection on an IoT Edge device. Describe the components and steps for implementing a cognitive service on an IoT Edge device.

Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.

Providing high availability for clustered applications is an important requirement for most organizations. With Microsoft Azure shared disks, you can run clustered or high-availability applications on Azure.

Use components to easily share and reuse code and use component-based pipelines to create machine learning workflows.

Learn how Azure Container Instances can help you quickly deploy containers, how to set environment variables, and specify container restart policies.